Are you designing boxes to be filled up with content or are you creating usable designs for the content? Content is the whole point of the digital products you create. But many teams struggle with how to get content up front. Whatever your role, you need to worry about content – or work with someone who does. When we start with context and give structure to the content, we can create multiple windows into a world. Flip the process. Design structure first. Work in layers to make interface designs that help people make better sense of the information they need. This webinar will provide an introduction to a content-first design process that starts with content, not pixels. Come explore the intersection of information architecture, content strategy, design, and development to create a useful, usable, delightful user experience.
America21 is co-hosting a forum to address the wealth gap in America, wherein white wealth is 22 times the wealth of Black Americans. The forum will address the nature of wealth, creation of wealth and generating wealth through opportunities in the 21st century Innovation Economy.
python_assignment/Hanoi (1).py
#######################################
#
# Name:
# Date:
# File Name: tower_hanoi.py
# Purpose: To create a function which
# makes a user input into a hanoi tower formula
#
#######################################
def hanoi(n, one, two, three):
if n > 0:
hanoi(n - 1, one, three, two)
if one[0]:
disk = one[0].pop()
print "moving " + str(disk) + " from " + one[1] + " to " + three[1]
three[0].append(disk)
hanoi(n - 1, two, one, three)
insert_numbers = int(input('Put a number: '))
insertNumList = []
for disk in reversed(range(1, insert_numbers+1)):
insertNumList.append(disk)
print ''
one = (insertNumList,'on peg one')
two = ([],'on peg two')
three = ([],'on peg three')
print 'Start: ',one,two,three
print ''
hanoi(len(one[0]),one,two,three)
print ''
print 'End Result: ',one,two,three
print "It took", int((2**insert_numbers)-1), "steps."
python_assignment/Maze Solver - Rubric.xlsx
Sheet1Maze Solver - RubricStudent Name:For each evaluation criteria, fill out the deserved number of marks (out of the total shown) :DescriptionSelf assessmentmarks out ofTeacher evaluationload_maze functionthe function returns two-dimentional list1the returned list is exact representation of the input file - each character is an element 1the 'new line' characters are not included in the returned list1the function does not alter the input file1pick_random_location functionthe function returns a tuple of two integer numbers - column and row1the chosen location falls inside the maze1the chosen location is an empty alley spot1print_maze functionthe function prints arbitrary 2D array of single characters1the elements from each nested list are agregated into a string1strings are printed on separate lines, one after another, no spacing between them1find_path RECURSIVE functionthe base cases are propely defined3the function returns result when a base cases is encountered2the function marks current location with a '+' sign, as part of the path 1the function calls itself recursively for all surrounding cells4the function unmarks current location as part of the path if there is no path via any of the surrounding cells1Application of conceptsthe program visualizes the process of solving the maze by drawing it at each step3the program uses properly two-dimensional list2the program converts efficiently string to list and vice versa2Overallfunctionality4program appearance (header/comments/docstrings/names/spacing)4TOTAL0360Comments:
Sheet2
Sheet3
python_assignment/solution and iterations.zip
solution and iterations/maze.pyc
solution and iterations/maze_solver_main.py
#########################################
# Programmer: Mr. G
# Date: 28.02.2013
# File Name: maze_solver-main.py
# Description: This program solves a maze of arbitrary size.
# The program follows the algorithm described on the following website:
# http://www.cs.bu ...
Are you designing boxes to be filled up with content or are you creating usable designs for the content? Content is the whole point of the digital products you create. But many teams struggle with how to get content up front. Whatever your role, you need to worry about content – or work with someone who does. When we start with context and give structure to the content, we can create multiple windows into a world. Flip the process. Design structure first. Work in layers to make interface designs that help people make better sense of the information they need. This webinar will provide an introduction to a content-first design process that starts with content, not pixels. Come explore the intersection of information architecture, content strategy, design, and development to create a useful, usable, delightful user experience.
America21 is co-hosting a forum to address the wealth gap in America, wherein white wealth is 22 times the wealth of Black Americans. The forum will address the nature of wealth, creation of wealth and generating wealth through opportunities in the 21st century Innovation Economy.
python_assignment/Hanoi (1).py
#######################################
#
# Name:
# Date:
# File Name: tower_hanoi.py
# Purpose: To create a function which
# makes a user input into a hanoi tower formula
#
#######################################
def hanoi(n, one, two, three):
if n > 0:
hanoi(n - 1, one, three, two)
if one[0]:
disk = one[0].pop()
print "moving " + str(disk) + " from " + one[1] + " to " + three[1]
three[0].append(disk)
hanoi(n - 1, two, one, three)
insert_numbers = int(input('Put a number: '))
insertNumList = []
for disk in reversed(range(1, insert_numbers+1)):
insertNumList.append(disk)
print ''
one = (insertNumList,'on peg one')
two = ([],'on peg two')
three = ([],'on peg three')
print 'Start: ',one,two,three
print ''
hanoi(len(one[0]),one,two,three)
print ''
print 'End Result: ',one,two,three
print "It took", int((2**insert_numbers)-1), "steps."
python_assignment/Maze Solver - Rubric.xlsx
Sheet1Maze Solver - RubricStudent Name:For each evaluation criteria, fill out the deserved number of marks (out of the total shown) :DescriptionSelf assessmentmarks out ofTeacher evaluationload_maze functionthe function returns two-dimentional list1the returned list is exact representation of the input file - each character is an element 1the 'new line' characters are not included in the returned list1the function does not alter the input file1pick_random_location functionthe function returns a tuple of two integer numbers - column and row1the chosen location falls inside the maze1the chosen location is an empty alley spot1print_maze functionthe function prints arbitrary 2D array of single characters1the elements from each nested list are agregated into a string1strings are printed on separate lines, one after another, no spacing between them1find_path RECURSIVE functionthe base cases are propely defined3the function returns result when a base cases is encountered2the function marks current location with a '+' sign, as part of the path 1the function calls itself recursively for all surrounding cells4the function unmarks current location as part of the path if there is no path via any of the surrounding cells1Application of conceptsthe program visualizes the process of solving the maze by drawing it at each step3the program uses properly two-dimensional list2the program converts efficiently string to list and vice versa2Overallfunctionality4program appearance (header/comments/docstrings/names/spacing)4TOTAL0360Comments:
Sheet2
Sheet3
python_assignment/solution and iterations.zip
solution and iterations/maze.pyc
solution and iterations/maze_solver_main.py
#########################################
# Programmer: Mr. G
# Date: 28.02.2013
# File Name: maze_solver-main.py
# Description: This program solves a maze of arbitrary size.
# The program follows the algorithm described on the following website:
# http://www.cs.bu ...
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.